A Data Scientist is a professional whose job is to creates value out of data. They collect a variety of information from multiple sources and analyze it to obtain a stronger understanding about how a certain company or business is performing. They also collect data in order to help build AI tools that are able to automate certain processes within the company. A few of the jobs for a Data Scientist include creating various Machine Learning-based tools, and processes within a certain company. For example, recommendation engines or automated lead scoring systems. Data Scientists also generally know how to perform statistical analysis. Data Scientists also have many responsibilities ranging from Data mining to creating automated anomaly detection systems. They have a wide range of responsibilities that require various skills. Some responsibilities are: selecting features, building and optimizing classifiers by using machine learning techniques. Data mining using state-of-the-art methods. Extending company’s data with third party sources of information when needed. Enhancing data collection procedures to include information that is relevant for building analytic systems. Processing, cleansing, and verifying the integrity of data used for analysis. Doing ad-hoc analysis and presenting results in a clear manner. Creating automated anomaly detection systems and constant tracking of its performance.For the degree required to obtain a position as a Data Scientist, there are no specific requirements to become a data scientist. Due to the fact that Data Scientist is a generally knew field there are no specific degrees, however there are a few starting to appear. Some examples of a post secondary degrees are computer engineering, computer science, a combination of software and some knowledge of web designing and hardware. Although there are some masters degrees available for Data Scientist, it is not necessary because the material taught does not help with the work done at the job.Although there is no required post secondary degree there is common knowledge that every Data Scientist must know. The most common knowledge is a variety of coding languages. These include Python and Java: general-purpose programming languages that are the most used in the coding world today. R and Tableau: languages used for visualization. MatLab: A language that supports mathematical modeling. Scala: A Java-friendly language ideal for working with real-time data. As well as: SQL, Julia, SAS, Hadoop, and Apache Spark. A data Scientist would not need to know all of these but the more they know the better off they will be as they can access more platforms.